AI & Machine Learning · Computer Science & AI
Neural & Evolutionary Computing
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324 papers, from 4 September 2026 to 5 November 2026: 324 arXiv preprints.
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Boosted Physics-Informed Neural Networks for Solving Homogeneous and Non-Homogeneous Lane-Emden Type Equations
The Lane-Emden Equation is a class of nonlinear differential equations commonly used to model phenomena in astrophysics and mathematical physics, such as stellar structure and thermal behavior in…A Tool in the Forward Pass: Frozen Tape Modules as Layers of a Small Language Model
Calling a tool through generated text adds decoding steps, even when the computation itself is short.Is Newborn Wiring Special? Separating Wiring from Weight Placement in Connectome Reservoirs
Reservoir computing offers a way to study the brain's wiring before it is even trained.From Connection Loss to Collision: Closed-Loop Fault Assessment of a Fly-Connectome SNN
The public release of the complete adult fruit-fly brain connectome enables brain-scale spiking-network studies, motivating closed-loop assessment of connection loss.Local Budget Benefits, Population Commitment, and Solver Performance: A DGO Case Study with Controlled DE Transfer
An evaluated candidate can improve a local search step, alter the population used by later steps, and affect a solver's final result.Memory and Recall of Color Images Using Neural Networks-1 - The Cue-Ball Model based on the Associative Memory Mechanism -
This paper presents a neural network model for storing and recalling color images of different sizes using the Cue BallRecall Net systems [1,2,3,4,5].Input-dependent Neuromodulation Enhances Mixed-Signal Neuromorphic Hardware
Gating mechanisms allow a fixed neural network to adapt its computation to the current input by dynamically modulating its effective parameters.In-Model Context Compression with Agentic Soft Tokens for Long-Horizon LLM Agents
Long-horizon LLM agents play an important role in solving complex and sustained tasks, with ever-growing interaction contexts.Proof-Carrying Evolution: Black-Box Search, White-Box Flight
We study whether a language model can help design controllers whose behavior can be formally checked.MulClip: A table-free activation function with monotonic and folding regimes for reservoir computing on microcontrollers
This letter proposes MulClip, a lightweight activation function for reservoir computing (RC) on microcontrollers (MCUs).FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss
Formula-Driven Supervised Learning (FDSL) enables vision pre-training without real images, but existing methods cast pre-training as classification on discretized labels, discarding continuity in…GC-LIF: Spiking Group-Equivariant Neural Network With Group-Coupled Membrane Dynamics
Spiking neural networks (SNNs) promise event-driven, low-power inference, but on vision tasks they still acquire rotation invariance only through data augmentation.Hardware-Aware Model Inversion in Memristive Spiking Neural Networks
Hardware-accelerated spiking neural networks (SNNs) implemented on memristive crossbar arrays offer significant gains in energy efficiency, while device variability and analog noise are sometimes…Diagnosing Optimizer-Landscape Interaction via Representation in Subset Selection Multitasking: Evidence from Piano Fingering
Continuous relaxations are commonly used as an encoding scheme for evolutionary multitasking optimization (EMTO), allowing heterogeneous tasks to be optimized within a unified search space.AI at a Turning Point: From ChatGPT through Neural Networks to Neuromorphic AI
The tension between the established technologies of connectionist AI and their neuromorphic challengers is attracting growing attention, above all because of the enormous energy demand of the former…HEMO: Harness Self-Evolution for Multi-Objective Combinatorial Optimization
Automatic operator design (AOD) has increasingly adopted large language models (LLMs) to generate problem-specific search and variation operators for multi-objective combinatorial optimization (MOCO).Dynamic Powergrid Optimization with FPGA-based Neuromorphic Higher-order Ising Machines
The advent of large, high-density FPGAs such as the AMD Versal enables efficient hardware implementation of neuromorphic Ising machines, unlocking unprecedented performance for complex combinatorial…Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expensive.AutoHebb: Self-Modifying Neural Networks that Zero-Shot Infer and Continually Learn
Humans and animals have a unique capacity to generalize and learn in novel circumstances, including "0-shot" inference (ZI) and continual learning (CL) -- two powerful cognitive abilities.FPGAFly: A 166.7k-Neuron Fruit-Fly Connectome on One FPGA via Deferred Spike Expansion and Shared-Codeword States
Synapse-resolution fruit-fly (Drosophila) connectomes enable neuron-by-neuron simulation of entire insect nervous systems, yet whole-brain models still require computationally demanding software or…